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Original Articles

Collaboration to Data Curation: Harnessing Institutional Expertise

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Pages 4-16 | Published online: 20 Oct 2010
 

Abstract

It can be argued that institutional repositories have not had the impact (CitationLynch 2003; CitationSalo 2008), initially expected, on academic scholarly communications (the exception being in a few well-developed and successful instances). So why should data repositories expect to fare any better? First, data repositories can learn from publication repositories’ experiences and their efforts to engage researchers to accept and use these new institutional services. Second, they provide a technical infrastructure for storing and sharing data with the potential for providing access to complimentary research support facilities. Finally, due to the interdisciplinary expertise required to develop and maintain such systems, stronger ties will be forged between libraries, information and computing services, and researchers. This will assist innovation and help to make them sustainable and embedded within academic institutional policy.

This paper, while aware of the diverse nature of institutional and departmental practices, aims to highlight a number of initiatives in the Universities of Edinburgh and Oxford, showing how research data repository infrastructures can be effectively realized through collaboration and sharing of expertise. We argue that by employing agile community, strategic and policy judgment, a robust data repository infrastructure will be part of an integrated solution to effectively manage institutional research data assets.

Notes

1. Embedding Institutional Data Curation Services in Research (EIDCSR) http://www.eidcsr.oucs.ox.ac.uk

2. University of Melbourne Data Management Policy http://www.unimelb.edu.au/records/research.html

3. Keeping Research Data Safe 2 http://www.beagrie.com/jisc.php

7. University's Open Access Publications Policy http://tiny.cc/5845v

8. Data Audit Framework (DAF)—http://www.data-audit.eu/ provides organisations with the means to identify, locate, describe and assess how they are managing their research data assets via online tools and methodologies.

10. Research Pooling is defined as the formation of strategic collaborations between universities in disciplinary or multi-disciplinary areas involving the international quality departments or individual researchers across Scotland http://sligachan.lib.ed.ac.uk/wordpress-mu/themes/research-pools/